Serious About Deep Learning for Time Series?
You Need This Bundle

Check Out What Customers Are Saying:

The book is very clear, well written and easy to apply. Moreover, Jason is always reactive to questions, helpful, and ready to give advices and help target the part that treats the ML problem you are trying to solve or to give advice. I definitely recommend the it.

Saad MoutiPostdoctoral Fellow

Excellent book covering / comparing both deep learning and classical methods for time series. The code is clear and easily transferable to my own work.

Claude PelletierMachine Learning Lead

You're Not Alone in Choosing Machine Learning MasteryTrusted by Over 25,000 Practitioners

...including employees from companies like:

...students and faculty from universities like:

and many thousands more...

About The Author

Hi, I'm Jason Brownlee. I run this site and I wrote and published this book.

I live in Australia with my wife and sons. I love to read books, write tutorials, and develop systems.

I have a computer science and software engineering background as well as Masters and PhD degrees in Artificial Intelligence with a focus on stochastic optimization.

I've written books on algorithms, won and ranked well in competitions, consulted for startups, and spent years in industry. (Yes, I have spend a long time building and maintaining REAL operational systems!)

I get a lot of satisfaction helping developers get started and get really good at applied machine learning.

I teach an unconventional top-down and results-first approach to machine learning where we start by working through tutorials and problems, then later wade into theory as we need it.

I'm here to help if you ever have any questions. I want you to be awesome at machine learning.

Absolutely No Risk with...100% Money Back Guarantee

Plus, as you should expect of any great product on the market, every Machine Learning Mastery Ebookcomes with the surest sign of confidence: my gold-standard 100% money-back guarantee.

100% Money-Back Guarantee

If you're not happy with your purchase of any of the Machine Learning Mastery Ebooks,just email me within 90 days of buying, and I'll give you your money back ASAP.

The books are full of tutorials that must be completed on the computer.

The books assume that you are working through the tutorials, not reading passively.

The books are intended to be read on the computer screen, next to a code editor.

The books are playbooks, they are not intended to be used as references texts and sit the shelf.

The books are updated frequently, to keep pace with changes to the field and APIs.

I hope that explains my rationale.

If you really do want a hard copy, you can purchase the book or bundle and create a printed version for your own personal use. There is no digital rights management (DRM) on the PDF files to prevent you from printing them.

I release new books every few months and develop a new super bundle at those times.

All existing customers will get early access to new books at a discount price.

Note, that you do get free updates to all of the books in your super bundle. This includes bug fixes, changes to APIs and even new chapters sometimes. I send out an email to customers for major book updates or you can contact me any time and ask for the latest version of a book.

The book “Master Machine Learning Algorithms” is for programmers and non-programmers alike. It teaches you how 10 top machine learning algorithms work, with worked examples in arithmetic, and spreadsheets, not code. The focus is on an understanding on how each model learns and makes predictions.

The book “Machine Learning Algorithms From Scratch” is for programmers that learn by writing code to understand. It provides step-by-step tutorials on how to implement top algorithms as well as how to load data, evaluate models and more. It has less on how the algorithms work, instead focusing exclusively on how to implement each in code.

The book “Deep Learning With Python” could be a prerequisite to”Long Short-Term Memory Networks with Python“. It teaches you how to get started with Keras and how to develop your first MLP, CNN and LSTM.

The book “Long Short-Term Memory Networks with Python” goes deep on LSTMs and teaches you how to prepare data, how to develop a suite of different LSTM architectures, parameter tuning, updating models and more.

The book “Deep Learning for Time Series Forecasting” focuses on how to use a suite of different deep learning models (MLPs, CNNs, LSTMs, and hybrids) to address a suite of different time series forecasting problems (univariate, multivariate, multistep and combinations).

The LSTM book teaches LSTMs only and does not focus on time series. The Deep Learning for Time Series book focuses on time series and teaches how to use many different models including LSTMs.

I do test my tutorials and projects on the blog first. It’s like the early access to ideas, and many of them do not make it to my training.

Much of the material in the books appeared in some form on my blog first and is later refined, improved and repackaged into a chapter format. I find this helps greatly with quality and bug fixing.

The books provide a more convenient packaging of the material, including source code, datasets and PDF format. They also include updates for new APIs, new chapters, bug and typo fixing, and direct access to me for all the support and help I can provide.

I believe my books offer thousands of dollars of education for tens of dollars each.

They are months if not years of experience distilled into a few hundred pages of carefully crafted and well-tested tutorials.

I think they are a bargain for professional developers looking to rapidly build skills in applied machine learning or use machine learning on a project.

Also, what are skills in machine learning worth to you? to your next project? and you’re current or next employer?

Nevertheless, the price of my books may appear expensive if you are a student or if you are not used to the high salaries for developers in North America, Australia, UK and similar parts of the world. For that, I am sorry.

It is a matching problem between an organization looking for someone to fill a role and you with your skills and background.

That being said, there are companies that are more interested in the value that you can provide to the business than the degrees that you have. Often, these are smaller companies and start-ups.

You can focus on providing value with machine learning by learning and getting very good at working through predictive modeling problems end-to-end. You can show this skill by developing a machine learning portfolio of completed projects.

My books are specifically designed to help you toward these ends. They teach you exactly how to use open source tools and libraries to get results in a predictive modeling project.